Implementation Planning

Community

thiientv

implementation-planning

Writes a detailed, executable implementation plan from an approved design or multi-step requirement, including exact files, interfaces, tests, commands, checkpoints, and rollback considerations. Use before touching code for a substantial feature, migration, refactor, or cross-cutting change. Not for a one-file bounded fix or for executing a plan that already exists.

Overview

Publisher	thiientv
Repository	`godmode`
Skill name	`implementation-planning`
Stars	99
Forks	76
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by thiientv on GitHub. Read the source before you install it.

Installation

Install the Implementation Planning AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/thiientv/godmode/tree/main/skills/implementation-planning
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/thiientv/godmode.git /tmp/godmode
mkdir -p .claude/skills
cp -r /tmp/godmode/skills/implementation-planning .claude/skills/implementation-planning

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implementation Planning in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Implementation Planning on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Implementation Planning is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Implementation Planning

Write for a capable engineer who does not know this repository or the hidden assumptions behind the request. A plan is useful only when another agent can execute it without reconstructing the design from hints.

Plan structure

Before listing tasks, record:

goal and user-visible outcome;
architecture and ownership boundaries;
constraints, compatibility promises, and non-goals;
files to create, modify, or delete;
test and evidence strategy;
rollback and migration safety.

Use plan-template.md for the complete skeleton.

Task rules

Break the work into thin, independently testable slices. Each task names:

exact files and responsibilities;
inputs, outputs, and interfaces consumed or produced;
the failing or observable check first;
the smallest implementation step;
the focused command and expected result;
the next checkpoint or integration dependency.

Prefer one behavior per task. Keep setup with the first deliverable that needs it. Do not create a task for speculative cleanup.

Plan quality gate

Before handing off:

trace every design requirement to a task;
search for placeholders such as TBD, TODO, or “add appropriate…”;
check names and types across task boundaries;
confirm commands exist in the repository;
identify what the plan cannot prove locally.

Hand the completed plan to plan-execution or subagent-driven-development. Do not claim the feature is implemented because the plan is complete.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/plan-template.md1 KB

Frequently asked questions

What does the Implementation Planning AI skill do?

Why use Implementation Planning on TypingMind?

Because you install it once and use it with any model. Implementation Planning is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Implementation Planning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiientv/godmode/tree/main/skills/implementation-planning. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Implementation Planning?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Implementation Planning?

As many as you like. As long as a model supports skills, you can use Implementation Planning with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Implementation Planning AI skill free?

Yes. It is published on GitHub by thiientv under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Implementation Planning

Plan structure

Task rules

Plan quality gate

Bundled files

Frequently asked questions

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